Getting Data Science models into Production (PyData)

Building and shipping working data science products is hard - learn from Peadar to find efficient ways through the mess of bad data, difficult team communication and poorly maintained code through to successfully deployed projects.
I will discuss case studies of successful projects, and the tools that are available in the data science ecosystem in particular the PyData ecosystem.
If you are interested in the 'last mile' problem of data science this talk will have something for you.
It will be a more mature and technical version of my talk at PyCon Italia, influenced by my friends and colleagues in the data science community.

About the speaker

I'm a Data Scientist with a strong Mathematical and Scientific Programming background. I currently work on Energy Analysis projects at Vodafone. My intellectual background includes a Masters in Mathematics. I'm an open source advocate, contributor and a regular speaker on statistical topics at data analytics events including PyCon Italia and PyData Berlin.